Robust Monocular Visual Teach and Repeat Aided by Local Ground Planarity and Color-constant Imagery

Color constancy is a key metric for evaluating the color reproduction performance. This contribution proposed a color constancy based spectral separation method for muti-ink printers from the prospect of color perception. Basing on our previously developped spectral printer modeling workflow, a novel color constancy based spectral separation method for muti-ink printers was proposed, which achieved high-level color-constant color reproduction.The experiment results shows that the workflow described in the paper not only could makes full use of device gamut, but also improves the comprehensive color constancy performance obviously. Averagely speaking, the Color Inconstancy Index of reproduced colors is reduced from 2.884 △E00 to 2.016 △E00 , while maintaining reasonable spectral and colorimetric reproduction accuracy.

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The computation of color constant descriptors in chromatic images

Color Research & Application ◽

10.1002/col.5080140610 ◽

1989 ◽

Vol 14 (6) ◽

pp. 325-334 ◽

Cited By ~ 49

Author(s):

Ron Gershon ◽

Allan D. Jepson

Keyword(s):

Color Constant

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A Computational Model for Color Perception

Bio-Algorithms and Med-Systems ◽

10.1515/bams-2012-0028 ◽

2012 ◽

Vol 8 (4) ◽

pp. 387-415

Author(s):

Marc Ebner

Keyword(s):

Visual System ◽

Computational Model ◽

Coordinate System ◽

Color Perception ◽

Human Observer ◽

Average Color ◽

Local Space ◽

Color Constant ◽

Spatially Varying ◽

The Brain

ABSTRACT Color is not a physical quantity of an object. It cannot be measured. We can only measure reflectance, i.e. the amount of light reflected for each wavelength. Nevertheless, we attach colors to the objects around us. A human observer perceives colors as being approximately constant irrespective of the illuminant which is used to illuminate the scene. Colors are a very important cue in everyday life. They can be used to recognize or distinguish different objects. Currently, we do not yet know how the brain arrives at a color constant or approximately color constant descriptor, i.e. what computational processing is actually performed by the brain. What we need is a computational description of color perception in particular and color vision in general. Only if we are able to write down a full computational theory of the visual system then we have understood how the visual system works. With this contribution, a computational model of color perception is presented. This model is much simpler compared to previous theories. It is able to compute a color constant descriptor even in the presence of spatially varying illuminants. According to this model, the cones respond approximately logarithmic to the irradiance entering the eye. Cells in V1 perform a change of the coordinate system such that colors are represented along a red-green, a blue-yellow and a black-white axis. Cells in V4 compute local space average color using a resistive grid. The resistive grid is formed by cells in V4. The left and right hemispheres are connected via the corpus callosum. A color constant descriptor which is presumably used for color based object recognition is computed by subtracting local space average color from the cone response within a rotated coordinate system.

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